Stéphane Girard

发表

A sliced inverse regression approach for data stream

Marie Chavent, Stéphane Girard, Vanessa Kuentz-Simonet, 2014, Comput. Stat..

Statistical Estimation of Dominant Physical Parameters for Leakage Variability in 32 Nanometer CMOS, Under Supply Voltage Variations

Stéphane Girard, Edith Beigné, Philippe Flatresse, 2012, J. Low Power Electron..

Kernel discriminant analysis and clustering with parsimonious Gaussian process models

Charles Bouveyron, Stéphane Girard, Mathieu Fauvel, 2012, Statistics and Computing.

New Results - Inférence statistique pour le traitement du signal et des images

Guillaume Bouchard, Stéphane Girard, Anatoli Iouditski, 2002 .

Estimating Local Intrinsic Dimensionality

Ken-ichi Kawarabayashi, Laurent Amsaleg, Stéphane Girard, 2015, KDD.

Sliced inverse regression in reference curves estimation

Stéphane Girard, Christiane Guinot, Ali Gannoun, 2004, Comput. Stat. Data Anal..

Spectro-Temporal Heterogeneity Measures from Dense High Spatial Resolution Satellite Image Time Series: Application to Grassland Species Diversity Estimation

Stéphane Girard, Mathieu Fauvel, Annie Ouin, 2017, Remote. Sens..

Nonparametric estimation of the conditional tail copula

Stéphane Girard, Laurent Gardes, 2015, J. Multivar. Anal..

Potential of Sentinel-2 and SPOT5 (Take5) time series for the estimation of grasslands biodiversity indices

Stéphane Girard, Mathieu Fauvel, Annie Ouin, 2017, 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp).

Maximum likelihood estimation of the flow size distribution tail index from sampled packet data

Stéphane Girard, Paulo Gonçalves, Patrick Loiseau, 2009, SIGMETRICS '09.

On the estimation of the functional Weibull tail-coefficient

Stéphane Girard, Laurent Gardes, S. Girard, 2016, J. Multivar. Anal..

A statistical model for optimizing power consumption of printers

Stéphane Girard, Jean-Baptiste Durand, Victor Ciriza, 2008 .

L1-optimal frontier estimation via linear programming

Stéphane Girard, Anatoli Iouditski, A. V. Nazin, 2005 .

Supervised classification of categorical data with uncertain labels for DNA barcoding

Charles Bouveyron, Stéphane Girard, Madalina Olteanu, 2009, ESANN.

Student Sliced Inverse Regression

Stéphane Girard, Florence Forbes, Alessandro Chiancone, 2017, Comput. Stat. Data Anal..

Extreme-value-theoretic estimation of local intrinsic dimensionality

Ken-ichi Kawarabayashi, Laurent Amsaleg, Stéphane Girard, 2018, Data Mining and Knowledge Discovery.

New Results - Markov models

Stéphane Girard, Florence Forbes, Juliette Blanchet, 2006 .

Inverting hyperspectral images with Gaussian Regularized Sliced Inverse Regression

Sylvain Douté, Stéphane Girard, Laurent Gardes, 2008, ESANN.

Class-Specific Subspace Discriminant Analysis for High-Dimensional Data

Cordelia Schmid, Charles Bouveyron, Stéphane Girard, 2005, SLSFS.

A new sliced inverse regression method for multivariate response

Stéphane Girard, Raphaël Coudret, Jérôme Saracco, 2013, Comput. Stat. Data Anal..

A flexible and tractable class of one-factor copulas

Stéphane Girard, Florence Forbes, Gildas Mazo, 2016, Stat. Comput..

Frontier estimation with kernel regression on high order moments

Stéphane Girard, Armelle Guillou, Gilles Stupfler, 2013, J. Multivar. Anal..

Object Localization by Subspace Clustering of Local Descriptors

Cordelia Schmid, Charles Bouveyron, Juho Kannala, 2006, ICVGIP.

Robust supervised classification with mixture models: Learning from data with uncertain labels

Charles Bouveyron, Stéphane Girard, C. Bouveyron, 2009, Pattern Recognit..

Marshall-Olkin type copulas generated by a global shock

Stéphane Girard, Fabrizio Durante, Gildas Mazo, 2016, J. Comput. Appl. Math..

A class of multivariate copulas based on products of bivariate copulas

Stéphane Girard, Florence Forbes, Gildas Mazo, 2015, J. Multivar. Anal..

Parsimonious Gaussian process models for the classification of multivariate remote sensing images

Charles Bouveyron, Stéphane Girard, Mathieu Fauvel, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

L1-optimal linear programming estimator for periodic frontier functions with Hölder continuous derivative

Stéphane Girard, Alexander V. Nazin, A. Nazin, 2014, Autom. Remote. Control..

High dimensional Kullback-Leibler divergence for grassland management practices classification from high resolution satellite image time series

Stéphane Girard, Mathieu Fauvel, David Sheeren, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Optimization of power consumption and device availability based on point process modelling of the request sequence

Stéphane Girard, Jean-Baptiste Durand, Victor Ciriza, 2013 .

Intrinsic dimension estimation by maximum likelihood in isotropic probabilistic PCA

Charles Bouveyron, Stéphane Girard, Gilles Celeux, 2011, Pattern Recognit. Lett..

A gate level methodology for efficient statistical leakage estimation in complex 32nm circuits

Stéphane Girard, Edith Beigné, Marc Belleville, 2013, 2013 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Functional nonparametric estimation of conditional extreme quantiles

Stéphane Girard, Laurent Gardes, Alexandre Lekina, 2010, J. Multivar. Anal..

Object-Based Classification of Grasslands from High Resolution Satellite Image Time Series Using Gaussian Mean Map Kernels

Stéphane Girard, Mathieu Fauvel, David Sheeren, 2017, Remote. Sens..

Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images

Charles Bouveyron, Stéphane Girard, Mathieu Fauvel, 2015, IEEE Geoscience and Remote Sensing Letters.